Cumulative Logistic Regression Model for Pedestrian Level of Service Rating

Complete street designs are becoming increasingly popular and sought by engineers and planners to accommodate all users on urban arterials. To address analysis needs, National Cooperative Highway Research Program Project 3-70 was developed to assist engineers and planners understand the implications of design and operational choices on the perceived level of service of travelers on urban arterials. NCHRP 3-70 was a six year project that gathered input from four modes of travel on urban arterials: auto, pedestrian, bicycle, and fixed route transit. Data were gathered for the pedestrian, bicycle, and auto modes using video simulation techniques from four locations: Oakland, CA; Chicago, IL; New Haven, CT; and College Station, TX. 145 participants were included in the study ranging in age and gender. Models were developed for each of the modes and an overall methodology developed to analyze multimodal level of service for urban arterials. This study seeks to utilize a new modeling approach for the pedestrian level of service data which takes advantage of each of the 1400 data points to develop a cumulative logistic model that describes the entire distribution of pedestrian level of service under a given set of conditions. Previous models in NCHRP 3-70 utilized simple linear regression with mean observations to estimate pedestrian level of service. The advantages of the newly developed model include a simplification of the required input variables and the ability to better estimate pedestrian level of service as is demonstrated in the validation process.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 19p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01150477
  • Record Type: Publication
  • Report/Paper Numbers: 10-3945
  • Files: BTRIS, TRIS, TRB
  • Created Date: Jan 25 2010 12:01PM